code: def llama_modify_inf(model):
      model.modify_attention = types.MethodType(
          modify_llama_attention, model
      )
      model.reset_model = types.MethodType(reset_llama_model, model)
  
file_path: prompt-highlighter/highlighter_modules/attention_llama_llava.py
imports: import math
  import torch
  import torch.nn
  from typing import Optional, Tuple, List
  from transformers import LlamaForCausalLM
  from transformers.models.llama.modeling_llama import LlamaAttention, apply_rotary_pos_emb, repeat_kv
  from llava.model.language_model.llava_llama import LlavaLlamaForCausalLM
  from torch.nn import CrossEntropyLoss
  import types
label_desc: Use image node_id 9 for calling a global function with example usage: llama_modify_inf(model) without return types